# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import ABCMeta, abstractmethod
from logging import getLogger
log = getLogger(__name__)
"""Abstract class for all callables that could be used in Chainer's pipe."""
def __call__(self, *args, **kwargs):
attr_list = list(self.__dict__.keys())
for attr_name in attr_list:
attr = getattr(self, attr_name)
if hasattr(attr, 'destroy'):